SNN workloads can be specified in PyNN [1]}, which is a Python interface to many SNN simulators such as CARLsim [2]}, Brian [3]}, NEST [4]}, and Neuron [5]}. These simulators model neural functions at various levels of detail and therefore have different requirements for computational resources. User can also specify an SNN model directly using these simulators. NeuroXplorer allows exploration of application quality using these simulators.
